Package: MarginalMaxTest 1.0.1

Canyi Chen

MarginalMaxTest: Max-Type Test for Marginal Correlation with Bootstrap

Test the marginal correlation between a scalar response variable with a vector of explanatory variables using the max-type test with bootstrap. The test is based on the max-type statistic and its asymptotic distribution under the null hypothesis of no marginal correlation. The bootstrap procedure is used to approximate the null distribution of the test statistic. The package provides a function for performing the test. For more technical details, refer to Zhang and Laber (2014) <doi:10.1080/01621459.2015.1106403>.

Authors:Canyi Chen [aut, cre, cph]

MarginalMaxTest_1.0.1.tar.gz
MarginalMaxTest_1.0.1.zip(r-4.7-x86_64)MarginalMaxTest_1.0.1.zip(r-4.7-arm64)MarginalMaxTest_1.0.1.zip(r-4.6-x86_64)MarginalMaxTest_1.0.1.zip(r-4.6-arm64)
MarginalMaxTest_1.0.1.tar.gz(r-4.7-arm64)MarginalMaxTest_1.0.1.tar.gz(r-4.7-x86_64)MarginalMaxTest_1.0.1.tar.gz(r-4.6-arm64)MarginalMaxTest_1.0.1.tar.gz(r-4.6-x86_64)
MarginalMaxTest_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MarginalMaxTest/json (API)

# Install 'MarginalMaxTest' in R:
install.packages('MarginalMaxTest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/canyi-chen/marginalmaxtest/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

1.70 score 2 scripts 279 downloads 1 exports 2 dependencies

Last updated from:c22a0bab6f. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK97
source / vignettesOK134
linux-release-arm64OK77
linux-release-x86_64OK99
windows-devel-arm64OK214
windows-devel-x86_64OK137
windows-release-arm64OK246
windows-release-x86_64OK80
wasm-releaseOK93

Exports:marginal.test

Dependencies:RcppRcppArmadillo